Update README.md

README.md

@@ -31,7 +31,8 @@ There are three versions of models released. The details are:
 |------------|-----------|----------|-------|-------|----|
 |   [zero-shot-classify-SSTuning-base](https://huggingface.co/DAMO-NLP-SG/zero-shot-classify-SSTuning-base)    |  [roberta-base](https://huggingface.co/roberta-base)      |  125M    |  Low    |  High    | 20.48M |  
 |   [zero-shot-classify-SSTuning-large](https://huggingface.co/DAMO-NLP-SG/zero-shot-classify-SSTuning-large)    |    [roberta-large](https://huggingface.co/roberta-large)      | 355M     |   Medium   | Medium | 5.12M |
-|   [zero-shot-classify-SSTuning-ALBERT](https://huggingface.co/DAMO-NLP-SG/zero-shot-classify-SSTuning-ALBERT)   |  [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2)      |  235M   |    High  | Low| 5.12M |
+|   [zero-shot-classify-SSTuning-ALBERT](https://huggingface.co/DAMO-NLP-SG/zero-shot-classify-SSTuning-ALBERT)
+   |  [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2)      |  235M   |    High  | Low| 5.12M |
 
 Please note that zero-shot-classify-SSTuning-base is trained with more data (20.48M) than the paper, as this will increase the accuracy.
 
@@ -87,8 +88,8 @@ print(predictions)
                Chip Hong Chang and 
                Lidong Bing},
   title     = {Zero-Shot Text Classification via Self-Supervised Tuning},
-  booktitle = {Findings of the 2023 ACL},
+  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023},
   year      = {2023},
-  url       = {},
+  url       = {https://arxiv.org/abs/2305.11442},
 }
 ```